Calculation of Bending Stiffness and its First Derivatives Related to Optimization of a Steel-Reinforced Concrete Cross Section

Article Preview

Abstract:

This article focuses on creating an algorithm for the calculation of bending stiffness of an arbitrary polygonal cross section, including the first derivatives of this stiffness with respect to all the input variables. The coordinates of vertices of the cross section are also among these input variables. The algorithm is in principle based on dividing the cross section into trapezoids, calculating zero, first and second moment of area of these trapezoids, including partial derivatives with respect to all the input variables, and then compiling all these partial results into a final output. A DLL library based on this algorithm is then used in an optimization solver based on a reduced‑gradient method. This solver is put into practice to optimize the given cross section characteristics according to prescribed criteria.

You might also be interested in these eBooks

Info:

Periodical:

Solid State Phenomena (Volume 249)

Pages:

253-260

Citation:

Online since:

April 2016

Export:

Price:

* - Corresponding Author

[1] D. M. Frangopol, J. S. Kongh, E. S. Ghareibeh, Reliability-based life-cycle management of highway bridges, in: Journal of Computing in Civil Engineering, 2001, vol. 15, is. 1, pp.27-34.

DOI: 10.1061/(asce)0887-3801(2001)15:1(27)

Google Scholar

[2] M. Maes et al., Reliability and Optimization of Structural Systems, in: Proceedings of the 11th IFIP WG7. 5 Working Conference, Banff (2003).

Google Scholar

[3] P. Štěpánek, J. Plšek, P. Popela, Deterministic and reliability based structural optimization of concrete cross-section, in: Journal of Advanced Concrete Technology, 2007, vol. 5, is. 1, pp.63-74.

DOI: 10.3151/jact.5.63

Google Scholar

[4] E. Žampachová, P. Popela, M. Mrázek, Optimum beam design via stochastic programming, in: Kybernetika, 2010, vol. 46, no. 3, pp.575-586.

Google Scholar

[5] P. Štěpánek, I. Laníková, P. Šimůnek, Deterministic And Reliability Based Structural Optimization Of Concrete Structures Including Environmental Aspects, in: The Fourth International fib Congress 2014, Improving Performance of Concrete Structures, Mumbai: IMC-fib, 2014, pp.918-929.

DOI: 10.35789/fib.bull.0071

Google Scholar

[6] J. Roupec, P. Popela, Scenario generation and analysis by heuristic algorithms, in: Proceedings of the World Congress on Engineering and Computer Science (WCECS), San Francisco, CA: Newswood Limited, International Association of Engineers, 2007, pp.931-935.

Google Scholar

[7] W. T. Ziemba, S. W. Wallace, Applications of Stochastic Programming, SIAM, (2004).

Google Scholar

[8] A. S. Drud, CONOPT—a large-scale GRG code, in: ORSA Journal on Computing, 1994, vol. 6, no. 2, pp.207-216.

DOI: 10.1287/ijoc.6.2.207

Google Scholar

[9] J. Plšek, Design optimization of concrete structures, Ph.D. dissertation, Brno University of Technology, Faculty of Civil Engineering, Brno (2011).

Google Scholar

[10] P. Štěpánek, I. Laníková, J. Venclovský, Optimization of a Tunnel Lining, in: Mendel 2015, 21st International Conference on Soft Computing, Brno 2015, ISBN 978-3-319-19823-1.

Google Scholar